What is the primary benefit of using the RLM skill?

The primary benefit is efficiency; it allows Claude to process contexts larger than 50KB while reducing token consumption by approximately 40% through programmatic exploration rather than full-context ingestion.

How does the Query() pattern work within RLM?

The LLM generates Go code that calls a Query() function. This function creates a sub-LLM call focused on a specific chunk of the context, allowing for iterative analysis without overloading the main prompt.

When should I avoid using the RLM skill?

You should avoid using RLM for small contexts (under 10KB) or simple single-turn questions, as the overhead of the recursive environment is not necessary for these tasks.

What are the technical requirements for RLM?

Users must have an ANTHROPIC_API_KEY environment variable set and have the rlm-go binary installed at ~/.local/bin/rlm.

Recursive Language Model Context Processor

Name: Recursive Language Model Context Processor
Author: XiaoConstantine

byXiaoConstantine

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Data Science & ML

Processes massive contexts through programmatic exploration and recursive analysis to achieve significant token savings.

RLM (Recursive Language Model) is a powerful inference-time scaling skill that allows Claude to handle arbitrarily long contexts by treating prompts as external objects. By using a Go-based REPL environment, it enables the model to programmatically examine data, perform recursive sub-queries, and iterate through chunks of text. This approach is particularly effective for contexts exceeding 50KB, where it can reduce token usage by up to 40% by avoiding the need to process the entire context in every turn.

Key Features

01Programmatic Go REPL for precise data navigation

024 GitHub stars

03Native support for files, strings, and stdin pipes

04Selective chunking via recursive Query() patterns

05Up to 40% token savings on high-volume context analysis

06Recursive inference-time scaling for large datasets

Use Cases

01Extracting specific data points from multi-megabyte JSON files

02Deep code analysis across large-scale repositories

03Analyzing massive server log files for unique error patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xiaoconstantine/rlm-go rlm

For use in Claude.ai and ChatGPT